detect_redundancy {validatetools} | R Documentation |
Detect redundant rules
Description
Detect redundancies in a rule set, but do not remove the rules. A rule in a ruleset can be redundant if it is implied by another rule or by a combination of rules. See the examples for more information.
Usage
detect_redundancy(x, ..., verbose = interactive())
Arguments
x |
|
... |
not used. |
verbose |
if |
Note
For removal of duplicate rules, simplify
See Also
Other redundancy:
detect_fixed_variables()
,
is_implied_by()
,
remove_redundancy()
,
simplify_fixed_variables()
,
simplify_rules()
Examples
rules <- validator( rule1 = x > 1
, rule2 = x > 2
)
# rule1 is superfluous
remove_redundancy(rules, verbose=TRUE)
# rule 1 is implied by rule 2
is_implied_by(rules, "rule1", verbose=TRUE)
rules <- validator( rule1 = x > 2
, rule2 = x > 2
)
# standout: rule1 and rule2, oldest rules wins
remove_redundancy(rules, verbose=TRUE)
# Note that detection signifies both rules!
detect_redundancy(rules)
[Package validatetools version 0.6.1 Index]